Which Traders Contribute Most to Price Discovery? Evidence from the KOSPI 200 Options Market

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dc.contributor.authorKang, Hankilko
dc.contributor.authorKang, Jangkooko
dc.contributor.authorLee, Soonheeko
dc.date.accessioned2016-12-01T08:06:33Z-
dc.date.available2016-12-01T08:06:33Z-
dc.date.created2016-11-28-
dc.date.created2016-11-28-
dc.date.issued2016-
dc.identifier.citationEMERGING MARKETS FINANCE AND TRADE, v.52, no.10, pp.2335 - 2347-
dc.identifier.issn1540-496X-
dc.identifier.urihttp://hdl.handle.net/10203/214642-
dc.description.abstractWe examine which group of investorsindividuals, institutions, or foreignershas more information about the true price process in the Korea Stock Price Index 200 (KOSPI 200) options market. Using the Hasbrouck (1995) information share and the Gonzalo and Granger (1995) common factor weight approach, we show that foreigners are the most informative about the efficient price process, and domestic institutional investors as well as individual investors have small contribution to price discovery. This result holds firmly, even after controlling for the effects of trading volume and the number of trades. Our empirical results suggest that foreigners are informed traders in the KOSPI 200 options market, consistent with the findings of Ahn, Kang, and Ryu (2008)-
dc.languageEnglish-
dc.publisherROUTLEDGE JOURNALS-
dc.subjectFOREIGN INVESTORS-
dc.subjectDOMESTIC INVESTORS-
dc.titleWhich Traders Contribute Most to Price Discovery? Evidence from the KOSPI 200 Options Market-
dc.typeArticle-
dc.identifier.wosid000386655800010-
dc.identifier.scopusid2-s2.0-84991583772-
dc.type.rimsART-
dc.citation.volume52-
dc.citation.issue10-
dc.citation.beginningpage2335-
dc.citation.endingpage2347-
dc.citation.publicationnameEMERGING MARKETS FINANCE AND TRADE-
dc.identifier.doi10.1080/1540496X.2016.1196927-
dc.contributor.localauthorKang, Jangkoo-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorinformed investor-
dc.subject.keywordAuthoroptions market-
dc.subject.keywordAuthorprice discovery-
dc.subject.keywordAuthorvector error correction model-
dc.subject.keywordPlusFOREIGN INVESTORS-
dc.subject.keywordPlusDOMESTIC INVESTORS-
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